Evidence map›Paper›PMID 39345710›Full record

ArticleJournal of clinical and translational science2024

SEED: A novel web-based data visualization platform to visualize, communicate, and explore social, environmental, and equity drivers of health.

Nrupen A Bhavsar, Jessica Sperling, Raquel Ruiz, Dinushika Mohottige, Perusi Muhigaba, Mina Silberberg, Anthony Leiro, Pamela Maxson, Michelle Lyn, L Ebony Boulware

Abstract read
In one paragraph

Article in Journal of clinical and translational science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Nrupen A BhavsarDepartment of Surgery, Division of Surgical Sciences, Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, NC, USA.ORCID https://orcid.org/0000-0002-9937-5560
Jessica SperlingSocial Science Research Institute, Duke University, Durham, NC, USA.ORCID https://orcid.org/0000-0002-2443-3762
Raquel RuizClinical and Translational Sciences Institute, Duke University School of Medicine, Durham, NC, USA.
Dinushika MohottigeDepartment of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Perusi MuhigabaClinical and Translational Sciences Institute, Duke University School of Medicine, Durham, NC, USA.ORCID https://orcid.org/0000-0002-5508-5596
Mina SilberbergDepartment of Family Medicine and Community Health, Duke University School of Medicine, Durham, NC, USA.
Anthony LeiroSocial Science Research Institute, Duke University, Durham, NC, USA.
Pamela MaxsonClinical and Translational Sciences Institute, Duke University School of Medicine, Durham, NC, USA.
Michelle LynDivision of Community Health, Duke University School of Medicine, Durham, NC, USA.
L Ebony BoulwareDepartment of Medicine, Duke University School of Medicine, Wake Forest School of Medicine, Winston-Salem, NC, USA.

Funding

Structural Racism as a "Third hit" on kidney outcomes of Black individuals with APOL1 risk allelesK23DK139454 · NIDDK · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Dinushika Mohottige · 2024 to 2026
$583k
NIDDK NIH HHS K23 DK139454
6 · The paper itself

Abstract

Multisector stakeholders, including, community-based organizations, health systems, researchers, policymakers, and commerce, increasingly seek to address health inequities that persist due to structural racism. They require accessible tools to visualize and quantify the prevalence of social drivers of health (SDOH) and correlate them with health to facilitate dialog and action. We developed and deployed a web-based data visualization platform to make health and SDOH data available to the community. We conducted interviews and focus groups among end users of the platform to establish needs and desired platform functionality. The platform displays curated SDOH and de-identified and aggregated local electronic health record data. The resulting Social, Environmental, and Equity Drivers (SEED) Health Atlas integrates SDOH data across multiple constructs, including socioeconomic status, environmental pollution, and built environment. Aggregated health prevalence data on multiple conditions can be visualized in interactive maps. Data can be visualized and downloaded without coding knowledge. Visualizations facilitate an understanding of community health priorities and local health inequities. SEED could facilitate future discussions on improving community health and health equity. SEED provides a promising tool that members of the community and researchers may use in their efforts to improve health equity.

Indexed as

community engagementdata visualizationelectronic health recordshealth disparitieshealth equitySocial determinants of health

Identifiers

PMID39345710
PMCPMC11428061

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.